Remove Examples Remove Healthcare Remove Insurance Remove Trends
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The benefits of AI in healthcare

IBM Big Data Hub

Artificial intelligence is used in healthcare for everything from answering patient questions to assisting with surgeries and developing new pharmaceuticals, benefitting both patients and healthcare systems. For example, doctors and other clinicians can dictate notes hands-free, giving them more face-to-face time with patients.

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The most valuable AI use cases for business

IBM Big Data Hub

For example, Amazon reminds customers to reorder their most often-purchased products, and shows them related products or suggestions. These systems can evaluate vast amounts of data to uncover trends and patterns, and to make decisions. YouTube will deliver a curated feed of content suited to customer interests.

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Mastering healthcare data governance with data lineage

IBM Big Data Hub

Healthcare organizations need a strong data governance framework to help ensure compliance with regulations like the Health Insurance Portability and Accountability Act of 1996 (HIPAA) in the US and the General Data Protection Regulation (GDPR) in the EU. Inaccuracies might also lead to more delays or complications with insurance coverage.

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Privacy and Cybersecurity Top 10 for 2018

Data Matters

We expect each of these trends to continue in 2018. Perhaps the most personal aspects of cyberspace will arise with the marked increase in the rise of wearables, digital pharmaceuticals, and advances in personal medicine. As we begin this New Year, here is list of the top 10 privacy and cybersecurity issues for 2018: EU GDPR.

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How data, automation and AI are transforming Business Process Outsourcing into a competitive advantage

IBM Big Data Hub

Tapping into AI and automation helps businesses streamline and strengthen their operations, while providing rich information that helps enterprises quickly predict and respond to trends and threats alike. ” One car manufacturer, for example, opened up a conversation by asking about an upgrade to its data servers.

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The Good, Bad, And The Ugly: Key Takeaways From California’s New Privacy Law

Privacy and Cybersecurity Law

Inferences drawn from any of the information identified” above “to create a profile about a consumer reflecting the consumer’s preferences, characteristics, psychological trends, preferences, predispositions, behavior, attitudes, intelligence, abilities, and aptitudes.”. Personal information does not include publicly available information.

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